• Korean Management Science Review
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• v.21 no.1
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• pp.113-129
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• 2004

Nowadays many enterprises build e-procurement systems. An e-procurement is a Web-based procurement process and its functionalities are considered important in the B2B e-commerce. Buyers should select competent suppliers for a successful e-procurement. Therefore, this study proposes a method using the analytic hierarchy process(AHP) for building a Web-based supplier selection system. In detail, the purpose of this study is (1) to review methods previously used when buyers selecting suppliers and to extract important selection criteria： (2) to explain extended AHP method adopted by this study among supplier selection methods： (3) to describe the supplier selection steps using extended AHP ： and (4) to propose a decision support system embedding the methodology described above. The proposed system comprises of three phase： first phase is to evaluate suppliers on enterprise level： second phase to evaluate them on each transaction level： third phase to post-evaluate them.

• Journal of Agricultural Extension & Community Development
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• v.23 no.4
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• pp.419-429
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• 2016

This study focuses on the policy priorities for training agro-healing experts. Training agro-healing experts is an important task that should boost local community in rural areas. In order to make an efficient decision making, the study analyses priority of relevant policies using the AHP(Analytic Hierarchy Process) method. According to the results, R&D comes out first. Human Resource Development(HRD), financial support, and the construction of legal system comes after R&D. In R&D, qualifications and guidelines for participants comes out the most significant issue. In the aspect of HRD, it is very important to develop and utilize regional personnel such as unemployed youth and retirees from related fields. As for financial support, funding for educational facilities (i.e. classrooms and farmland for practice) is needed. In case of legal system, it is desirable to introduce the recruiting experts system and qualification system certified by government.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6D
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• pp.533-538
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• 2012

The purpose of weighting traffic management strategies is to reach strategic goal through intended and balanced implementations. The AHP is commonly used technique to derive perspective and strategic goals, and to give priorities to them in a organization. In this study, perspective and strategic goals are derived through surveys and interviews with staffs of a traffic management agency. And then, priority of perspective and strategic goals is performed through the AHP. In this study, three things were identified. Firstly, it was found weighting perspectives such as values for customers, future, activity, and performances were in sequence performed. The value for customers were ranked the first. Secondly, it was found increasing of customer- centric thinking and values of eco- friendly system are the highest weighting in strategic goal. Third, it was found increasing of customer-centric thinking is the most important in headquarters and regional headquarter. But, Values of eco-friendly system is ranked as the most important in opinion of branch office's staffs. It was also identified that depending on the working places, such as headquater and branch offices, the response differs.

• The Korean Journal of Franchise Management
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• v.11 no.4
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• pp.45-57
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• 2020

Purpose: The purpose of this study is to determine the importance and priority arising from the relationship between MRO-office supplies franchisor ("franchisor") and franchisees through an in-depth investigation. In particular, with respect to the MRO-Office franchise industry, we would like to make meaningful contributions in the decision-making process by comparing and contrasting factors that affect the importance and priority of communication, conflict, support and satisfaction through AHP analysis. Research design, data, and methodology: After completion of AHP analysis, the study will also identify factors in order of priority and factors of importance between the franchisor and franchisees. Another purpose of this study is to evaluate and propose business relationship strategies between the franchisor and franchisees. Through AHP analysis, this study will facilitate the relationship between the franchisor and franchise, and determine the factors of importance and factors in order of priority. Result: This study evaluates the differences and priorities of the two groups arising from the relationship between the franchisor and the franchisees through AHP analysis after separately analyzing the franchisor. In this study, the franchisees find that communication is the most important factor, then support as the second most important factor between the two groups. In contrast, the franchisor finds that support is the most important factor followed by communication between the two groups. Conclusions: This analysis demonstrates the discrepancy in evaluating important factors from the perspectives of the franchisor and the franchisees. The largest discrepancy between the franchisor and franchisees comes from an information system related to communication factors. This effectively means that the franchisor has an understanding of this inadequate information system on the part of franchisees but this understanding is not deemed an important factor. The franchisees recognize and focus on the need to obtain feedback from the franchisor regarding management improvement as the most important factor rather than the ability of the franchisor to guide them through the franchisees' operations. To this end, the franchisor should be more flexible in dealing with the problem of improving the work required by the franchisees. For this study, a survey was conducted on employees of MRO-office supplies franchisor, franchisees, and employees and completed based on AHP analysis.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.213-218
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• 2004

In this research, we investigate the method to support decision making of researcher when they estimate the safety on the subway using AHP of Saaty. To apply this technique, we apply to subway system. The AHP suggested by Saaty in 1971 is a tool to support a decision-making including the personal opinion and intuition, and it is easier than other method. Then, it has an advantage that control the complex object having multiple criteria simply. And we suggest the eight stage of accident type and the five criteria that must meet. Based on AHP, we concluded a safety in subway is more important factor than any other factors including economic points of view.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.167-180
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• 2006

The ANP(Analytic Network Process), though based on the AHP(Analytic Hierarchy Process), is a system for the analysis, synthesis, and justification of complex decisions with the capability to model non-linear relations between the elements. ANP allows the decision makers to leap beyond the traditional hierarchy to the interdependent environment of network modeling. The ANP is designed for problems characterized by the added complexity of interdependencies such as feedback and dependencies among problem elements. Using a network approach makes it possible to represent and analyze interactions, incorporate non-linear relations between the elements, and synthesize mutual effects by a single logical procedure. This study intends to evaluate the contribution of technology in intangible assets by the AHP and ANP.

• Journal of the Korea Safety Management & Science
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• v.9 no.4
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• pp.49-56
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• 2007

It is known that human factors account for 80 percent of all railway accidents. To reduce human errors must be the most efficient shortcut to railway safety. For public transportation employees like railway, the more delicate safety management should be executed in individual level. However, there are rarely efforts to improve safety performance of workers who are the subject operating the railway system. This paper develops a hierarchy model to evaluate the human safety performance in railway industry. To evaluate the model, AHP (Analytic Hierarchy Process) methodology is adopted. The hierarchy model is composed of four levels which are objective, two criteria, specific factors of criteria, and rating scales. In addition, since employees for evaluation are over 10, the pairwise comparisons for rating scales are carried out by the absolute measurement. We explore the applicability of AHP to the performance evaluation of railway safety workers by an example and also investigate the changes of alternatives that are railway employees according to the changes of human characteristic which is one of criteria.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.2
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• pp.1-6
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• 2006

This study proposes a new approach which combines Data Envelopment Analysis(DEA) and the Analytic Hierarchy Process(AHP) techniques to effectively evaluate Decision Making Units(DMUs). While DEA evaluates a quantitative data set, employs linear programming to obtain input and output weights and ranks the performance of DMUs, AHP evaluates the qualitative data retrieved from expert opinions and other managerial information in specifying weights. The objective of this research is to design a decision support process for managers to incorporate positive aspects of DEA's absolute numerical evaluations and AHP's human preference structure values. It is believed that a pragmatic manager will be more receptive to the results that include subjective opinions incorporated into the evaluation of the efficiency of each DMU efficiency. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.3
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• pp.115-122
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• 2011

The critical role played by manufacturing performance measurement systems in achieving competitive success is increasingly recognized. Developing an integrated performance measurement model is significant for strategic management. This study consist of several principal steps. Performance criteria from the literature and an questionnaire were utilized prior to building the performance model. The AHP(Analytic Hierarchy Process) is utilized to evaluate the weight of each criterion when generating the performance measurement model for Korea automobile parts manufacturing company. AHP analysis showed clear difference in the priority between 5 criteria and 24 sub-criteria in terms of manufacturing performance of Korean automobile parts manufacturing company. The result of priority evaluation in the 5 criteria of 2nd level was ranked quality, cost, delivery, employee, flexibility. And the critical sub-criteria in the 24 sub-criteria of 3rd level was ranked claim rate, process defect rate, outsourcing parts defect rate, ability to quality management innovation, claim cost, etc.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.319-325
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• 2021

With the advancement of wireless technology and the rapid growth of the infrastructure of mobile communication technology, systems applying AI-based platforms are drawing attention from users. In particular, the system that understands users' tastes and interests and recommends preferred items is applied to advanced e-commerce customized services and smart homes. However, there is a problem that these recommendation systems are difficult to reflect in real time the preferences of various users for tastes and interests. In this research, we propose a Fuzzy-AHP-based movies recommendation system using the Gated Recurrent Unit (GRU) language model to address a problem. In this system, we apply Fuzzy-AHP to reflect users' tastes or interests in real time. We also apply GRU language model-based models to analyze the public interest and the content of the film to recommend movies similar to the user's preferred factors. To validate the performance of this recommendation system, we measured the suitability of the learning model using scraping data used in the learning module, and measured the rate of learning performance by comparing the Long Short-Term Memory (LSTM) language model with the learning time per epoch. The results show that the average cross-validation index of the learning model in this work is suitable at 94.8% and that the learning performance rate outperforms the LSTM language model.